Doha Qatar Hard Atp 500 Round of 16

Marton Fucsovics vs Karen Khachanov: AI Prediction | Games, Aces & Double Faults

Marton Fucsovics

Rank: #49
29%
VS

Karen Khachanov

Rank: #18
71%
Expected Total Games: 22.9
Predicted Winner: Karen Khachanov

Player Metrics

Marton Fucsovics

Form Index: 41.8
ELO Rating: 893.6
Glicko2 Rating: 1560.5
Current Fatigue (minutes): 70.0
Surface Strength:
Hard: 5.9
Clay: 6.7
Grass: 8.0
Serve Rating: 65.5
Return Rating: 66.5

Karen Khachanov

Form Index: 57.6
ELO Rating: 2001.0
Glicko2 Rating: 1734.0
Current Fatigue (minutes): 115.0
Surface Strength:
Hard: 12.3
Clay: 18.9
Grass: 20.3
Serve Rating: 97.4
Return Rating: 90.5

Recent Matches

Marton Fucsovics

  • Last Match: vs Hady Habib (2-0) hard Doha 70 min
  • 2nd Last Match: vs Guy Den Ouden (0-2) hard Rotterdam 111 min
  • 3rd Last Match: vs Alexander Bublik (0-3) hard Australian Open 174 min
  • 4th Last Match: vs Camilo Ugo Carabelli (3-0) hard Australian Open 174 min
  • 5th Last Match: vs Alexander Shevchenko (0-2) hard Adelaide 100 min

Karen Khachanov

  • Last Match: vs Shintaro Mochizuki (2-1) hard Doha 115 min
  • 2nd Last Match: vs Jaume Munar (1-2) hard Rotterdam 152 min
  • 3rd Last Match: vs Jesper de Jong (2-1) hard Rotterdam 143 min
  • 4th Last Match: vs Luciano Darderi (1-3) hard Australian Open 174 min
  • 5th Last Match: vs Nishesh Basavareddy (3-0) hard Australian Open 174 min

Head-to-Head (Last 2 Seasons)

0
Marton Fucsovics
vs
0
Karen Khachanov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In Doha, Qatar, round of 16 on hard courts at an ATP 500-level event, Karen Khachanov is favored to progress against Marton Fucsovics. The model projects Khachanov to win with a 70.92% probability versus 29.08% for Fucsovics, and forecasts a short match of about 22.88 total games.

Match Analysis

Khachanov comes in as the higher-ranked player (18) with a considerably stronger Elo (2001.02) and a better form index (57.60) than Fucsovics (rank 49, Elo 893.64, form 41.79). Khachanov’s cumulative fatigue is higher (115 minutes on court) compared with Fucsovics (70), but Khachanov also posts a markedly superior serve and return profile. The mean serve index gap (~31.9 points) is significant and should shape many service holds and free points; the mean return index gap (~24.0 points) is also substantial, favoring Khachanov in baseline exchanges and return games. Surface strength indices are low for both (Khachanov 12.28, Fucsovics 5.94) but tilt toward Khachanov. Recent matches underline the contrast: Fucsovics has one straight-sets win in Doha after two earlier hard-court losses (including a long match at the Australian Open), suggesting some inconsistency and court time in recent events. Khachanov has two wins in his last three outings and a three-set win in Doha, though one recent loss in Rotterdam indicates patches of vulnerability. Overall, Khachanov’s greater serving firepower and higher return ability give him the statistical edge despite heavier minutes played.

Total Games Predictions

🎾
Expected Total Games in Match 22.9 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Aces and Double Faults Predictions

The aces prediction for the match is 13.22 total, and the double faults prediction sits at 4.4 expected double faults. On a medium-paced hard court, those predicted aces are plausible—hard courts reward powerful servers but not to the extreme of grass. Given Khachanov’s much higher serve rating, he is likely to account for the bulk of the aces, while both players should keep double faults near the modest expected total.
🎯
Expected Total Aces 13.2 Most likely: 13 aces
Expected Total Double Faults 4.4 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

Final Prediction

Khachanov’s superior serve/return metrics, higher Elo and better recent form give him the clear edge in this matchup. The key factor to watch is how Khachanov’s serve dominance interacts with Fucsovics’ returning; if Khachanov controls service games, the match should remain short.

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